Avoid Unnecessary Furnace Maintenance and Reduce Downtime

Ensuring consistent, high-quality results is one of the major objectives of heat treatment. In order to achieve this, heat-treating systems must be kept in excellent condition despite being exposed to extreme conditions.

However, even with the various maintenance methods (including preventive and corrective maintenance) applied, the furnace can still break down, leading to unplanned downtime and lost production.

This article explores the ways in which predictive maintenance is emerging in the thermal processing industry as a strong method for analyzing efficiency and performance. It also offers a new perspective on predictive maintenance and the Internet of Things (IoT).

Ipsen’s PdMetrics® software platform for predictive maintenance is one such system that is revolutionising the thermal processing industry.

The software contains sophisticated diagnostics and monitoring, which combine with important furnace systems to offer insights never before seen in the industry.

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